DeFP
-
Updated
Jan 5, 2023 - Python
DeFP
A tool reading ground truth data and detected object data provides visualization way to estimate position accuracy.
Safety regions research is a well-known task for ML and the main focus is to avoid false positives, i.e., including in the safe region unsafe points. In this repository, two methods for the research of zero FPR regions are proposed: the first one is based simply on the reduction of the SVDD radius until only safe points are enclosed in the SVDD …
Simple code giving the probability from the true versus the false positive rate
Approximate palindromes lead to overstated false match rates in benchmarks using reversed sequences
Machine learning for credit card default. Precision-recalls are calculated due to imbalanced data. Confusion matrices and test statistics are compared with each other based on Logit over and under-sampling methods, decision tree, SVM, ensemble learning using Random Forest, Ada Boost and Gradient Boosting. Easy Ensemble AdaBoost classifier appear…
👞 SequenceSense | A Robust Gesture Sequencing Tool
Slides of a talk on deep learning, false negatives/positives and predator-prey interactions with R.
Group Project, CS454, AI Based Software Engineering, 2019 Fall
Notícia Chique (NC) é Um projeto de site feito em grupo pode envolver diversos desafios e aprendizados valiosos para os envolvidos. No caso do site de notícias sobre "fake news".
Numerical methods programs solution.
"Publication bias and the canonization of false facts" published in eLife (2016)
Proof of concept of a false-positive-based anti SYN scan
RMarkdown file showing an example of using the Random Forest algorithm to examine Weather Data
Interactive Tool for Interpreting positive COVID-19 antibody tests
Machine learning model to predict churn of credit card customers. Demonstration of novel XGBoost configuration for noisy, imbalanced data.
This script it's used to disable the attribute 'to_ids' on MISP events, features removal of the IDS tag on old events or based on Reputational datasets results.
Add a description, image, and links to the false-positive topic page so that developers can more easily learn about it.
To associate your repository with the false-positive topic, visit your repo's landing page and select "manage topics."